Cross-genre Document Retrieval: Matching between Conversational and Formal Writings

07/14/2017
by   Tomasz Jurczyk, et al.
0

This paper challenges a cross-genre document retrieval task, where the queries are in formal writing and the target documents are in conversational writing. In this task, a query, is a sentence extracted from either a summary or a plot of an episode in a TV show, and the target document consists of transcripts from the corresponding episode. To establish a strong baseline, we employ the current state-of-the-art search engine to perform document retrieval on the dataset collected for this work. We then introduce a structure reranking approach to improve the initial ranking by utilizing syntactic and semantic structures generated by NLP tools. Our evaluation shows an improvement of more than 4

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/23/2023

DAPR: A Benchmark on Document-Aware Passage Retrieval

Recent neural retrieval mainly focuses on ranking short texts and is cha...
research
04/17/2019

Document Expansion by Query Prediction

One technique to improve the retrieval effectiveness of a search engine ...
research
06/28/2020

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Although exact term match between queries and documents is the dominant ...
research
11/25/2022

Caching Historical Embeddings in Conversational Search

Rapid response, namely low latency, is fundamental in search application...
research
02/17/2021

Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval

This paper describes the participation of UvA.ILPS group at the TREC CAs...
research
12/28/2021

Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews

When medical researchers conduct a systematic review (SR), screening stu...
research
10/23/2022

Cross-document Event Coreference Search: Task, Dataset and Modeling

The task of Cross-document Coreference Resolution has been traditionally...

Please sign up or login with your details

Forgot password? Click here to reset